What are the responsibilities and job description for the Senior AI/ML Engineer position at Kanshe Infotech?
Job Title: Senior AI/ML Engineer – GenAI & Cloud Solutions
Location: Woodland Hills, CA (Onsite)
Job Type: Contract
Top Skills:
GenAI | LLMs | Agentic AI | Python | Azure Cloud | Azure AI Search | MCP Protocol | Vector Embeddings | Cosmos DB | Healthcare Domain
Job Description:
We are seeking a Senior AI/ML Engineer with strong experience in Generative AI, Agentic AI, Azure Cloud, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy enterprise-scale AI solutions while working closely with engineering and business teams.
Key Responsibilities:
-
Design and build scalable AI/ML and Generative AI solutions
-
Develop Agentic AI applications using A2A frameworks and MCP Protocol
-
Build and optimize RAG, vector embedding, prompt engineering, and context engineering solutions
-
Deploy and manage AI workloads on Azure Cloud
-
Develop cloud-native applications using Azure Functions and Container Apps
-
Design data solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg
-
Fine-tune and optimize LLMs for enterprise use cases
-
Ensure scalability, security, and performance of AI applications
-
Collaborate with cross-functional teams and mentor junior engineers
-
Support healthcare-focused AI solutions with compliance and security requirements
Required Skills:
-
Strong experience with Generative AI, LLMs, and Agentic AI frameworks
-
Hands-on experience with MCP Protocol and multi-agent architectures
-
Advanced Python development experience
-
Strong Azure Cloud experience
-
Experience with Azure AI Search, Redis, Cosmos DB, and cloud-native architectures
-
Experience with vector databases, embeddings, RAG, and prompt engineering
-
Knowledge of microservices, containers, and serverless technologies
-
Experience working in Healthcare or other regulated environments
Preferred Qualifications:
-
Bachelor's or Master's degree in Computer Science, AI/ML, or related field
-
Azure AI Engineer or Azure Solutions Architect certification
-
Experience contributing to AI/ML research, publications, or open-source projects